Triple

T6888759
Position Surface form Disambiguated ID Type / Status
Subject Xenia E158990 entity
Predicate hasVariant P455 FINISHED
Object Xeniya
Xeniya is a feminine given name, commonly used in Slavic countries as a variant of the name Xenia.
 E625712 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Xeniya | Statement: [Xenia, hasVariant, Xeniya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xeniya
Context triple: [Xenia, hasVariant, Xeniya]
  • A. Xeni
    Xeni is an American journalist, blogger, and media personality best known as a co-editor of the influential tech and culture blog Boing Boing.
  • B. Xerini
    Xerini is a tribe of ground-dwelling squirrels known for their burrowing habits and adaptation to open, often arid habitats.
  • C. Xania
    Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
  • D. Ypati
    Ypati is a historic town in central Greece, known for its mountainous setting near Mount Oeta and its role in various periods of Greek history.
  • E. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xeniya
Triple: [Xenia, hasVariant, Xeniya]
Generated description
Xeniya is a feminine given name, commonly used in Slavic countries as a variant of the name Xenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xeniya
Target entity description: Xeniya is a feminine given name, commonly used in Slavic countries as a variant of the name Xenia.
  • A. Xeni
    Xeni is an American journalist, blogger, and media personality best known as a co-editor of the influential tech and culture blog Boing Boing.
  • B. Xerini
    Xerini is a tribe of ground-dwelling squirrels known for their burrowing habits and adaptation to open, often arid habitats.
  • C. Xania
    Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
  • D. Ypati
    Ypati is a historic town in central Greece, known for its mountainous setting near Mount Oeta and its role in various periods of Greek history.
  • E. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9101e30819084695ba0003a255c completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742e71bcc81908231a861be47b7db completed March 28, 2026, 2:54 a.m.
NEDg Description generation batch_69c744036378819083a3be5c50b189b2 completed March 28, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69c744eb1cf88190aaf90198d04d4500 completed March 28, 2026, 3:03 a.m.
Created at: March 27, 2026, 2:23 p.m.